Elías Delgado

5.1k total citations
146 papers, 2.0k citations indexed

About

Elías Delgado is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Elías Delgado has authored 146 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Endocrinology, Diabetes and Metabolism, 33 papers in Surgery and 33 papers in Molecular Biology. Recurrent topics in Elías Delgado's work include Diabetes Management and Research (40 papers), Diabetes Treatment and Management (38 papers) and Diabetes and associated disorders (27 papers). Elías Delgado is often cited by papers focused on Diabetes Management and Research (40 papers), Diabetes Treatment and Management (38 papers) and Diabetes and associated disorders (27 papers). Elías Delgado collaborates with scholars based in Spain, United States and Italy. Elías Delgado's co-authors include Patricia Botas, Sergio Valdés, Edelmiro Menéndez Torre, José Manuel Fernández‐Real, Wifredo Ricart, Francisco V. Álvarez, José María Moreno‐Navarrete, Cecilia Sánchez-Ragnarsson, Francisco Ortega and Abel López‐Bermejo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Elías Delgado

135 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Elías Delgado Spain 25 943 467 423 389 371 146 2.0k
Chan‐Hee Jung South Korea 31 989 1.0× 414 0.9× 562 1.3× 493 1.3× 428 1.2× 104 2.4k
Manuel Aguilar‐Diosdado Spain 25 856 0.9× 339 0.7× 289 0.7× 206 0.5× 391 1.1× 152 2.0k
Angela Criscimanna Italy 16 856 0.9× 330 0.7× 538 1.3× 396 1.0× 440 1.2× 23 2.0k
Donald A. Bergman United States 15 803 0.9× 353 0.8× 299 0.7× 358 0.9× 459 1.2× 21 1.9k
Andromachi Vryonidou Greece 22 805 0.9× 292 0.6× 293 0.7× 181 0.5× 339 0.9× 67 1.9k
Ernesto Maddaloni Italy 26 953 1.0× 403 0.9× 223 0.5× 310 0.8× 616 1.7× 95 2.1k
Yu Cho Woo Hong Kong 25 944 1.0× 739 1.6× 420 1.0× 213 0.5× 530 1.4× 112 2.3k
Con Tsalamandris Australia 32 979 1.0× 346 0.7× 275 0.7× 318 0.8× 298 0.8× 42 3.1k
Jun Sung Moon South Korea 26 573 0.6× 460 1.0× 301 0.7× 358 0.9× 374 1.0× 114 1.7k
Gregory Fulcher Australia 26 1.5k 1.6× 403 0.9× 260 0.6× 340 0.9× 641 1.7× 74 2.3k

Countries citing papers authored by Elías Delgado

Since Specialization
Citations

This map shows the geographic impact of Elías Delgado's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Elías Delgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elías Delgado more than expected).

Fields of papers citing papers by Elías Delgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elías Delgado. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Elías Delgado. The network helps show where Elías Delgado may publish in the future.

Co-authorship network of co-authors of Elías Delgado

This figure shows the co-authorship network connecting the top 25 collaborators of Elías Delgado. A scholar is included among the top collaborators of Elías Delgado based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elías Delgado. Elías Delgado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Fernández, María Riestra, et al.. (2025). Variables associated with endogenous hyperinsulinism in hypoglycemia diagnosis. Could the 72-hour fasting test be shortened in low-risk patients?. Journal of Clinical & Translational Endocrinology. 40. 100386–100386.
2.
Martínez‐Camblor, Pablo, Ana Victoria García, Pedro Pujante, et al.. (2025). Impact of general practitioner appointment frequency on disease management in type 2 diabetes mellitus patients. Primary care diabetes. 19(2). 165–172.
3.
García, Ana Victoria, Isolina Riaño Galán, Vicente Martín, et al.. (2025). Exposure to a mixture of arsenic species and growth indicators in 6–12-year-old children from the cycles 2007–2020 NHANES. Environment International. 197. 109347–109347. 1 indexed citations
4.
Jiménez‐Fonseca, Paula, et al.. (2025). The Influence of Performance Status, Inflammation, and Nutrition on the Impact of SGLT2 Inhibitors on Cancer Outcomes. Cancer Medicine. 14(6). e70807–e70807. 3 indexed citations
5.
6.
Arnal, Laura, Rafael Llobet, Juan-Carlos Pérez-Cortés, et al.. (2025). A machine learning approach for type 2 diabetes diagnosis and prognosis using tailored heterogeneous feature subsets. Medical & Biological Engineering & Computing. 63(9). 2733–2752.
7.
Delgado, Elías, et al.. (2024). 100 Years since the Discovery of Insulin, from Its Discovery to the Insulins of the Future. Biomedicines. 12(3). 533–533. 4 indexed citations
8.
Delgado, Elías, et al.. (2024). Concern about hypoglycaemia is mainly nocturnal: An infodemiology study. Endocrinología Diabetes y Nutrición (English ed ). 71(1). 32–35. 1 indexed citations
9.
Pujante, Pedro, et al.. (2024). Myxedema Coma as a Presentation of Panhypopituitarism Secondary to Traumatic Brain Injury. SHILAP Revista de lepidopterología. 2024(1). 3588840–3588840.
10.
Delgado, Elías, et al.. (2024). The Somogyi hypothesis: a parallelism with Michael Somogyi’s life. HORMONES. 24(2). 499–506. 1 indexed citations
11.
12.
Pujante, Pedro, et al.. (2023). miR-24-3p and Body Mass Index as Type 2 Diabetes Risk Factors in Spanish Women 15 Years after Gestational Diabetes Mellitus Diagnosis. International Journal of Molecular Sciences. 24(2). 1152–1152. 7 indexed citations
13.
Olazagoitia‐Garmendia, Ane, Federica Fantuzzi, Lorella Marselli, et al.. (2023). A long non-coding RNA that harbors a SNP associated with type 2 diabetes regulates the expression of TGM2 gene in pancreatic beta cells. Frontiers in Endocrinology. 14. 1101934–1101934. 4 indexed citations
14.
Bellido, Virginia, et al.. (2022). Once-Weekly Semaglutide Use in Patients with Type 2 Diabetes: Results from the SURE Spain Multicentre, Prospective, Observational Study. Journal of Clinical Medicine. 11(17). 4938–4938. 17 indexed citations
15.
Rozado, José, et al.. (2020). Sodium-Glucose Cotransporter-2 Inhibitors at Discharge from Cardiology Hospitalization Department: Decoding A New Clinical Scenario. Journal of Clinical Medicine. 9(8). 2600–2600. 2 indexed citations
16.
Pérez, Raúl F., Juan Luís Fernández-Morera, Edelmiro Menéndez Torre, et al.. (2020). DNA Methylomes and Epigenetic Age Acceleration Associations with Poor Metabolic Control in T1D. Biomedicines. 9(1). 13–13. 3 indexed citations
17.
Lago‐Sampedro, Ana, Eva García‐Escobar, Elehazara Rubio‐Martín, et al.. (2019). Dairy Product Consumption and Metabolic Diseases in the Di@bet.es Study. Nutrients. 11(2). 262–262. 9 indexed citations
18.
Bellido, Virginia, Lorena Suárez, Cecilia Sánchez-Ragnarsson, et al.. (2015). Comparison of Basal-Bolus and Premixed Insulin Regimens in Hospitalized Patients With Type 2 Diabetes. Diabetes Care. 38(12). 2211–2216. 77 indexed citations
19.
Fernández, María Riestra, et al.. (2010). Pheochromocytoma of the adrenal gland scaled score (PASS) as a predictor of aggressive biologic behaviour. Endocrine Abstracts. 22. 1 indexed citations
20.
Fernández‐Real, José Manuel, et al.. (2004). Adiponectin is independently associated with glycosylated haemoglobin. European Journal of Endocrinology. 150(2). 201–205. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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